Papers › BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations
Bruno Artacho, Andreas Savakis
We propose BAPose, a novel bottom-up approach that achieves state-of-the-art results for multi-person pose estimation. Our end-to-end trainable framework leverages a disentangled multi-scale waterfall architecture and incorporates adaptive convolutions to infer keypoints more precisely in crowded scenes with occlusions. The multi-scale representations, obtained by the disentangled waterfall module in BAPose, leverage the efficiency of progressive filtering in the cascade architecture, while maintaining multi-scale fields-of-view comparable to spatial pyramid configurations. Our results on the challenging COCO and CrowdPose datasets demonstrate that BAPose is an efficient and robust framework for multi-person pose estimation, achieving significant improvements on state-of-the-art accuracy.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Person Pose Estimation | COCO (Common Objects in Context) | BAPose | AP | 0.727 | #5 of 15 | Archive leaderboard | report |
| Multi-Person Pose Estimation | COCO (Common Objects in Context) | BAPose | Test AP | 71.2 | #5 of 15 | Archive leaderboard | report |
| Multi-Person Pose Estimation | COCO (Common Objects in Context) | BAPose | Validation AP | 72.7 | #5 of 15 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | BAPose (W32) | AP Easy | 79.9 | #8 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | BAPose (W32) | AP Hard | 61.3 | #8 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | BAPose (W32) | AP Medium | 73.4 | #8 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | BAPose (W32) | mAP @0.5:0.95 | 72.2 | #8 of 28 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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